An engaging virtual assistant capable of answering arbitrary open-ended questions
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Updated
May 19, 2019 - Python
An engaging virtual assistant capable of answering arbitrary open-ended questions
Implementation of Basic Conversational Agent(a.k.a Chatbot) using PyTorch Transformer Module
Engage into interesting conversations with this multi-purpose chatbot
An engaging virtual assistant service for answering (almost) any question about some event or character from the Fandom/WikiA knowledge base
This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.
Chatbot implementation for the Cambridge restaurant system
This github repository contains the code for the chatbot Jody that is created for the thesis project: Goal setting dialogue for physical activity with a virtual coach.
This repository contains all software written and used, along with the outcomes across all stages of the thematic analysis conducted on the reasons to find it easy or difficult to talk to the virtual coach.
Rasa chatbot to gather data for and test a personalized reinforcement learning algorithm to persuade people to do preparatory activities for smoking cessation and increasing physical activity.
Conversational agent using MultiWOZ dataset and decoding methods as beam search, and top-k sampling
Metric Learning and Adaptive Boundary for Out-of-Domain Detection (NLDB 2022)
一个基于微信公众号的文本对话机器人(a text-based chatbot)
Conversational AI tooling & personas built on Cohere's LLMs
Este código representa uma experimentação com as funcionalidades de "agent" e "tools" providenciadas pela biblioteca Langchain. Através deste projeto, explora-se a criação de um chatbot interativo com um conjunto de ferramentas úteis, demonstrando o potencial da Langchain na construção de aplicações conversacionais.
Official Open-Source Implementation of BoilerBot: A Reliable Task-Oriented Chatbot Enhanced with Large Language Models.
Chatbot for persuading smokers to use physical activity as an aid for quitting smoking.
This repository contains code and resources for the paper "Linguistic Insights from Quasi-Patterned Sets Of Conversations: A Computational Approach to Conversational Graphs." It develops a framework to construct graphs capturing patterns in quasi-patterned sets of dialogues.
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